Triple
T25705966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aci, Galatea e Polifemo |
E644588
|
entity |
| Predicate | notableAriaFor |
P140539
|
FINISHED |
| Object | Polifemo (bass) |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Polifemo (bass) | Statement: [Aci, Galatea e Polifemo, notableAriaFor, Polifemo (bass)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAriaFor Context triple: [Aci, Galatea e Polifemo, notableAriaFor, Polifemo (bass)]
-
A.
notableAria
Indicates that an aria is particularly famous, distinguished, or significant within its artistic or historical context.
-
B.
notableAriaAssociated
chosen
Indicates that a notable aria is associated with, or prominently linked to, a particular entity (such as a person, work, or performance).
-
C.
notableArtist
Indicates that the subject is an artist who is widely recognized or distinguished for their work.
-
D.
notableMusician
Indicates that the subject is a musician who is widely recognized or distinguished for their musical work or impact.
-
E.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 21, 2026, 9:04 p.m.